Context guide

Best long-context AI models

This page ranks live models by usable context window first, then pricing and capability support, so you can shortlist models for large documents, repositories, transcripts, and agent memory.

Live signalLargest listed context windows in the live catalog
Live signalPaid pricing visibility for real budget planning
Live signalCapability coverage for text, tools, and structured output
Live signalUseful for repository review, long transcripts, and large prompts
Fast answer

Start with the live shortlist, then validate the route

Long context matters when prompts include large codebases, long documents, meeting transcripts, or multi-file retrieval results that would otherwise need chunking or repeated calls.

Data source and freshness

Catalog-backed, not a static price sheet

TVP refreshes this page from the live OpenRouter model catalog. This render used 428 public model records and was synchronized Jul 14, 2026, 9:34 PM UTC. Pricing, availability, and context values can change.

Verify the exact route before sending production traffic, then use the linked model and provider pages as the source for current values. Read the TVP data methodology.

Shortlist

Top live candidates right now

meta-llama

Meta: Llama 4 Scout

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

Context10,000,000
Input$0.1
Output$0.3

10,000,000 token context makes it a fit for large prompts, transcripts, documents, and repositories.

  • text
  • image
  • tools
  • structured
x-ai

xAI: Grok 4.20

Grok 4.20 is a reasoning model from xAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

Context2,000,000
Input$1.25
Output$2.50

2,000,000 token context makes it a fit for large prompts, transcripts, documents, and repositories.

  • text
  • image
  • file
  • tools
  • structured
x-ai

xAI: Grok 4.20 Multi-Agent

Grok 4.20 Multi-Agent is a variant of xAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information...

Context2,000,000
Input$1.25
Output$2.50

2,000,000 token context makes it a fit for large prompts, transcripts, documents, and repositories.

  • text
  • image
  • file
  • structured
openai

OpenAI: GPT-5.6 Luna

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

Context1,050,000
Input$1.00
Output$6.00

1,050,000 token context makes it a fit for large prompts, transcripts, documents, and repositories.

  • file
  • image
  • text
  • tools
  • structured
openai

OpenAI: GPT-5.6 Luna Pro

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Context1,050,000
Input$1.00
Output$6.00

1,050,000 token context makes it a fit for large prompts, transcripts, documents, and repositories.

  • file
  • image
  • text
  • tools
  • structured
FAQ

What buyers usually ask

When does long context matter most?

Long context matters when prompts include large codebases, long documents, meeting transcripts, or multi-file retrieval results that would otherwise need chunking or repeated calls.

Is the biggest context window always the best choice?

No. Very large context is helpful only if the model quality and price still fit the workload. Some teams do better with a smaller context model plus retrieval.

Next step

Use the guide, then validate the route in live TVP data.

TVP keeps the shortlist connected to the current catalog, provider coverage, and token pricing so buyers can move from research to routing without starting over.